바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

정보 시스템 성공 모형을 적용한 e-Book 성공 모형의 평가

Assessing e-Book Success Model based on the Information System Success Model

정보관리학회지 / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2012, v.29 no.4, pp.61-82
https://doi.org/10.3743/KOSIM.2012.29.4.061
오창규 (경남대학교)
  • 다운로드 수
  • 조회수

초록

최근 국내적으로 e-Book 산업에 대한 성장 전망을 실현화하기 위한 노력은 끊임없이 진보되어 왔다. e-Book의 경우 정보 시스템 영역에서 가치 시스템을 구현하고 있음에도 불구하고, e-Book을 정보 시스템 영역으로 확장하여 사용자 입장에서 성공 메커니즘을 살펴본 연구는 찾아보기 힘들다. 이에 본 연구에서는 e-Book의 성공 모형을 제안하고 평가를 수행하였다. 전체 241명의 e-Book 사용자들로부터 자료를 수집하여 구조방정식 모형을 통해 검증하였다. 그 결과 모든 구성개념들의 관계가 유의적으로 도출됨으로써 e-Book의 연구 영역을 정보 시스템 연구 영역으로 확장할 수 있는 이론적 토대를 마련하였다. 아울러 경로별 멀티그룹 구조모형 분석을 통해 개인의 지각된 효용 차이에 따라 e-Book의 성공 요소들이 서로 상이하게 영향력을 행사함을 밝힘으로써 e-Book 시장을 활성화 할 수 있는 실무적인 시사점을 논의하였다.

keywords
information system success model, e-Book success model, perceived utility, 정보 시스템 성공 모형, e-Book 성공 모형, 지각된 효용, information system success model, e-Book success model, perceived utility

Abstract

With the proliferation of the e-Book industry, people are increasingly interacting with e-Book as information systems. While e-Book contains the components regarded as an information system(IS), few studies have been conducted to assess the success of e-Book from IS perspective. This study proposed and empirically evaluated an e-Book success model. Structural equation modeling techniques were applied to the data collected by questionnaire from 241 users of e-Book. Every relationship among constructs was significantly supported by the data. This finding provided theoretical implications to extend existing e-Book research into the broader IS research area. Furthermore, this study illustrated the use of multi-group structural analysis to test the differences in structural weights between high e-Book and high paper book utility groups. The managerial implications of the results in setting different relationships and allocating appropriate paths to vitalize the e-Book market were discussed.

keywords
information system success model, e-Book success model, perceived utility, 정보 시스템 성공 모형, e-Book 성공 모형, 지각된 효용, information system success model, e-Book success model, perceived utility

참고문헌

1.

권오병. (2010). Reconfiguration of Recommender System Success with DeLone and McLean’s Model of IS Success. 지식경영연구, 11(4), 21-39.

2.

김정명. (2010). 전자책 사용실태와 이미지에 관한 연구. 출판잡지연구, 8(1), 235-255.

3.

김태현. (2010). eBook 서비스 동향과 활성화를 위한 시사점 논의. 방송통신정책, 22(20), 24-50.

4.

김현수. (1999). 비용-효용 분석을 통한 정보 시스템 도입 투자 결정 모델의 개발 (55-56). 대한산업공학회 춘계학술발표논문집.

5.

노준석. (2012). 세계 전자책(e-Book)시장의 현황과 전망. KOCA 통계브리핑, 12(8), 1-4.

6.

디지털타임즈. 전자책 시장이 살아난다.

7.

박유리. (2010). 녹생성장을 위한 전자책 시장 활성화 방안. 정보통신정책연구원.

8.

박유리. (2010). 아이패드가 전자책 시장에 미치는 영향과 시사점. KISDI Report, 10(4), 1-13.

9.

송용진. (2009). 미 최대 오프라인서점 ‘반스앤노블’ e-북 시장 적극 진출. http://www.globalwindow.org/.

10.

이지은. (2011). 모바일 오피스의 품질과 업무 특성이 구성원의 업무성과에미치는 영향 (48-57). 한국전자거래학회 2011년 추계학술대회 발표논문집.

11.

장혜란. (2006). 대학생의 웹기반 전자책 이용에 관한 연구. 정보관리학회지, 23(4), 233-256.

12.

정종원. (2005). e-book 이용실태와 발전 전망. 한국언론정보학보, 31, 327-354.

13.

조선배. (1996). LISREL 구조방정식 모델:영지문화사.

14.

한국콘텐츠진흥원. (2012). 2012년 2분기 및 상반기 콘텐츠산업 동향분석 보고서. .

15.

Agarwal, R.. (1997). Targeting COBL programmers for C training : The role of job insecurity and organizational tenure. Journal of Systems and Software, 37, 5-17.

16.

Anderson, J. C.. (1988). Structural equation modeling in practice : A review and recommended two-stop approach. Psychological Bulletin, 103(3), 411-423.

17.

Bhattachejee, A.. (2001). An empirical analysis of the antecedents of electronic commerce service continuance. Decision Support Systems, 32, 201-214.

18.

Chandler, J. S.. (1982). A multiple criteria approach for evaluating information system. MIS Quarterly, 6, 61-74.

19.

Chen, C. W.. (2010). Impact of quality antecedents on taxpayer satisfaction with online tax-filling systems. Information and Management, 47, 308-315.

20.

Christianson, M.. (2005). Electronic or print books: Which are used? Library Collections. Acquisitions, and Technical Services, 29(1), 71-81.

21.

DeLone, W. H.. (1992). Information systems success : The quest for the dependent variable. Informations Systems Research, 3(1), 60-95.

22.

DeLone, W. H.. (2003). The DeLone and McLean Model of information systems success : A ten-year update. Journal of Management Information Systems, 19(4), 9-30.

23.

Fornell, C. D.. (1981). Evaluating structural equation models with unobservable variables and measurement errors. Journal of Marketing Research, 18(1), 39-50.

24.

Gorla, N.. (2010). Organizational impact of system quality, information quality, and service quality. Journal of Strategic Information Systems, 19, 207-228.

25.

Hamilton, R. W.. (2008). When 2 + 2 is not the same as 1 + 3: variations in price sensitivity across components of partitioned prices. Journal of Marketing Research, 45(4), 450-461.

26.

Hassanzadeh, A.. (2012). A model for measuring e-learning systems success in universities. Expert System with Applications, 39(12), 959-966.

27.

Ho, C. F.. (1999). Antecedents of customer satisfaction on the internet: An empirical study of online shopping (5027-). Proceedings of the 32nd Annual Hawaii International Conference on System Sciences.

28.

Kim, T. G.. (2008). An empirical examination of the acceptance behaviour of hotel front office systems. Tourism Management, 29, 500-513.

29.

Korat, O.. (2008). The educational electronic book as a tool for supporting children's emergent literacy in low versus middle SES groups. Computer & Education, 50(1), 110-124.

30.

Koukova, N. T.. (2008). Product form bundling : Implications for marketing digital products. Journal of Retailing, 84(2), 181-194.

31.

Kroenke, D. M.. (2012). Experiencing MIS:Pearson Education, Inc.

32.

Lin, C. S.. (2005). Integrating perceived playfulness into expectation confirmation model for web portal context. Information and Management, 42, 683-693.

33.

Marcucci, E.. (2012). Dissecting preference heterogeneity in consumer stated choices. Logistics and Transportation Review, 48(1), 331-339.

34.

Masoner, M. M.. (2011). A meta-analysis of information system success: A reconsideration of its dimensionality. International Journal of Accounting Information Systems, 12(2), 136-141.

35.

Myers, B. L.. (1997). A comprehensive model for assessing the quality and productivity of the information systems function : Toward a theory for information systems assessment. International Resources Management Journal, 10(1), 6-25.

36.

Negash, S.. (2003). Quality and effectiveness in web-based customer support systems. Information and Management, 40(8), 757-768.

37.

Pai, F. Y.. (2011). Applying the technology acceptance model to the introduction of healthcare information systems. Technological Forecasting & Social Change, 78(4), 650-660.

38.

Petter, S.. (2009). A meta-analysis assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information and Management, 46(3), 159-166.

39.

Pitt, L. F.. (1995). Service quality : A measure of information systems effectiveness. MIS Quarterly, 19(2), 63-78.

40.

Rai, A. L.. (2002). Assessing the validity of IS success models: An empirical test and theoretical analysis. Information Systems Research, 13, 50-69.

41.

Seddon, P. B.. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information System Research, 8(3), 240-253.

42.

Sohn, W. S.. (2002). Standardization of eBook documents in the Korean industry. Computer Standards & Interfaces, 24(1), 45-60.

43.

Strabase. (2010). Strategy comparison: Amazon vs. Barnes&Noble. Trend Watch. http://www.strabase.com/.

44.

Taylor, S.. (1995). Understanding information technology usage : A test of competing models. Information Systems Research, 6(2), 144-176.

45.

Thaler, R.. (1985). Mental accounting and consumer choice. Marketing Science, 4(3), 199-214.

46.

Wang, Y. M.. (2006). A general multiple attribute decision-making approach for integrating subjective preferences and objective information. Fuzzy Sets and Systems, 157(10), 1333-1345.

47.

Wang, Y. S.. (2008). Assessing eGovernment system success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25(4), 717-733.

48.

Wu, J. H.. (2006). Measuring KMS success: A respecification of the DeLone and McLean's model. Information and Management, 43(6), 728-739.

정보관리학회지